What Loamly is
Loamly looks at the why behind AI recommendations. It examines how a brand or its competitors get recommended on ChatGPT, Claude, Gemini and Perplexity, and which pages and citations appear to drive the result.
It is measurement for generative search rather than classic rankings.
What you can do with it
- Diagnose why a brand is recommended or skipped
- Track citations behind the recommendations
- Compare competitor appearance
- Connect AI visibility to referral and revenue data
- Adjust content and citation strategy
Who it is for
- B2B marketing teams
- SaaS growth teams
- Content strategists
- Brand teams watching AI referral traffic
What to watch out for
- Model behaviour changes, so conclusions have a shelf life
- Findings should be verified with keywords, referral sources and conversion
- It complements rather than replaces search measurement
- Attribution from AI answers is hard to prove precisely
Pros & cons
✓ What we like
- Explains recommendation causes, not just counts
- Covers several AI platforms
- Revenue attribution angle included
! What to watch out for
- Insights decay as models update
- Attribution remains approximate
- Needs existing brand presence to analyze
FAQ
What problem does it solve?
It explains why AI platforms recommend your brand or a competitor instead.
Is it suitable for SEO teams?
Yes, particularly teams focused on AI search and generative recommendations.
How should results be verified?
Track keywords, referral sources and conversion changes alongside the tool's output.
Last reviewed: 2026-09-16
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